Manager - AI/ML

About Cognizant Corporate

Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth. At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose, always guided by our core values. Join us in shaping the future of business. Could you be the one to make a difference?

About the Role

As a Tech Lead/Architect (M) – AI and ML Tech Stack, you will drive impactful contributions and focus on enabling and delivering AI-driven solutions that create measurable business outcomes. You will be a key member of the AI and Engineering organization, collaborating with process leaders, architects, product teams, data engineers, software developers, and business stakeholders. You will have the autonomy to lead, innovate, and improve workflows while upholding our commitment to quality, operational excellence, and continuous learning.

In this Role, You Will:

1. Lead the end-to-end design, development, deployment, and operationalization of scalable AI and Machine Learning solutions that drive business value.
2. Define and implement AI development standards, best practices, governance frameworks, and solution architecture guidelines across projects.
3. Collaborate with cross-functional teams including product management, data engineering, software development, and business stakeholders to align AI initiatives with organizational goals.
4. Drive innovation by researching and adopting emerging technologies in machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
5. Mentor and guide AI engineers, developers, and data scientists while communicating complex AI concepts and actionable insights to technical and non-technical stakeholders.

What You Must Have to Be Considered

• 12+ years of hands-on experience in application design and engineering.
• Strong expertise in Python programming for AI and Machine Learning applications.
• Deep understanding of machine learning, deep learning, supervised learning, unsupervised learning, and reinforcement learning techniques.
• Extensive experience with TensorFlow, PyTorch, and related AI/ML frameworks.
• Strong knowledge of neural networks, model development, model optimization, and AI solution deployment.
• Experience in data analysis, data cleansing, feature engineering, and data visualization.
• Strong understanding of Natural Language Processing (NLP) concepts and applications.
• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform.
• Knowledge of Big Data technologies and scalable AI solution implementation.
• Expertise in AI infrastructure, model deployment, MLOps, and DevOps practices.
• Understanding of AI security risks, governance, and mitigation strategies.
• Strong analytical, problem-solving, stakeholder management, and communication skills.
• M.Sc., M.Tech., or B.Tech. in Computer Science, Artificial Intelligence, or a related field.
• Experience in a similar leadership role within the industry.
• A strong sense of ownership, desire to create meaningful outcomes, and passion for impactful work.
• The embodiment of Cognizant’s Values of: Work as One, Dare to Innovate, Raise the Bar, Do The Right Thing, and Own It.

These Will Help You Succeed

• Relevant certifications in Artificial Intelligence and Machine Learning.
• Experience implementing enterprise-scale AI transformation programs.
• Expertise in Generative AI, Large Language Models (LLMs), and AI enablement initiatives.
• Strong experience with AI governance, responsible AI practices, and model lifecycle management.
• Proven ability to deliver innovative AI solutions that solve complex business challenges.
• Experience leading large, distributed teams in global delivery environments.

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring work from a Cognizant office in Bangalore or Chennai as needed by business and project requirements. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client requirements.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.